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Language Technology

Language Technology (also called Natural Language Processing – NLP) is a field at the intersection of Linguistics and Computer Science that focuses on enabling computers to understand, interpret, and generate human language.

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Course Detail

The course focuses on enabling computers to process, analyze, and generate human language in both text and speech forms.

Course Features

  • Linguistic data Analysis
  • NLP models Implementation
  • Language processing systems Evaluation

Semantic Words

Instructor in Marketing

Semanticwords is an online e-learning platform focused on topics like Natural Language Processing (NLP), semantics, language, the Semantic Web, AI, and related fields..

  • 20 hours on-demand video
  • Full Lifetime Access
  • Access on Mobile and TV
  • Certificate of Completion

Course Content

11 sections • 28 lecture • 19h 33m total length

Explores how computers process and understand human language, combining Linguistics and Artificial Intelligence.

Focuses on preparing raw text for analysis through tokenization, normalization, and cleaning techniques.
Introduces methods for structuring text data to make it usable for computational models.

Examines the structure of words (morphology) and sentence formation (syntax) in language.
Teaches how to analyze grammatical patterns using tagging and parsing methods.

Deals with understanding meaning in language, including word sense and contextual interpretation.
Explores how context and intent influence communication beyond literal word meanings.

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Highlights practical uses of NLP such as translation, chatbots, and sentiment analysis.
Demonstrates how tools like Google Translate apply language technology in real-world scenarios.

Focuses on deep learning approaches that enable machines to understand and generate human language using neural networks.

Introduces techniques that allow computers to learn patterns from language data using algorithms from Machine Learning..

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